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Talentica > Enterprise > Technology Advisory

Technical Advisory

High-stakes engineering requires specialized expertise and an independent perspective to strengthen critical decisions.

Talk to us
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The Problem

The cost of finding late is often too high

Internal teams often evaluate strategic engineering initiatives from within the context of existing systems, priorities, and assumptions. A third-party assessment adds an independent technical perspective. This becomes valuable during migrations, vendor evaluations, architecture decisions, or incidents. It can expose risks invisible in demos, pitch decks, or internal reviews, including integration, scalability, reliability, and security concerns. Identifying these issues before a commitment is made can reduce downstream rework, cost, and operational risk.

What we do

Six areas to evaluate before you commit

Independent technical perspective to evaluate risks, options, and trade-offs before critical decisions are made.

Assess architecture choices, dependencies, and risks before they become harder to change.

  • Cloud architecture review 
  • Microservices & API design review 
  • Data architecture & pipeline review 
  • Security architecture review 
  • Integration architecture review 
  • Legacy system architecture assessment 
  • Multi-cloud & hybrid architecture review 

Identify and address the system constraints affecting speed, latency, and throughput.

  • Application performance profiling 
  • Database query and index optimization 
  • Load & stress testing 
  • Latency & throughput analysis 
  • Caching strategy design 
  • API performance tuning 
  • Front-end performance optimization 

Prepare systems and infrastructure for higher loads, users, and operational complexity.

  • Horizontal & vertical scaling strategy 
  • Auto-scaling & infrastructure design 
  • Database sharding & partitioning 
  • Multi-region & high-availability design 
  • Capacity planning & forecasting 
  • Event-driven & asynchronous architecture design 
  • Stateless system design 

Evaluate technology choices against technical fit, cost, risk, and long-term requirements.

  • Build vs buy evaluation 
  • Vendor & platform comparison 
  • Proof of concept evaluation 
  • Tech stack modernization assessment 
  • Total cost of ownership analysis 
  • Open-source vs commercial evaluation 
  • Framework & language selection

Assess the technology, engineering, and operational risks behind an investment or acquisition.

  • Codebase quality & tech debt assessment 
  • Engineering team & process evaluation 
  • IP & licensing review 
  • Security & compliance audit 
  • Infrastructure & scalability risk assessment 
  • Post-acquisition integration planning 
  • Vendor & third-party dependency review

Bring senior engineering perspective to technology strategy, organizational decisions, and critical initiatives.

  • Technology strategy & roadmap planning 
  • Engineering org design & hiring advisory 
  • Build vs buy decision support 
  • Technical risk & governance advisory 
  • Board & investor technical reporting 
  • Interim & fractional CTO support 
  • Engineering process & delivery advisory 

How we work

Clarity you can act on

We don’t do generic audits and build reports that sit in a drawer. Every engagement is tailor-made and built to be acted on. 

01

Independent by design

We don’t let vendor relationships, internal politics, or incentives to cloud our judgment.

02

Deep enough to matter

This goes beyond the diagrams and docs, into the code, the metrics, and the architecture. 

03

Sized to the business

Our recommendations are built around the team’s maturity, timeline, and constraints. 

04

Senior people, direct answers

Engineers and architects who have built and run systems at scale take the onus. 

05

A path forward, not just a list of risks

Every engagement shares clear, prioritized next steps. 

Advisory in practice

Technology Assessments

From protocol paper to a $22M spinout

The problem

A technology conglomerate’s exploratory innovation arm wanted real-time B2B settlement on blockchain rails, but every practical design forced a trade-off: transactions could be fast and transparent, or private, but not both. Financial partners wouldn’t move onto a ledger that exposed counterparties and amounts, and the research needed to close that gap didn’t exist yet inside the team.

What we built
  • Co-authored the core protocol paper defining ZK-proof based confidential transactions
  • Implemented the cryptographically secure transaction layer in Rust, using Ed25519 signatures and Bulletproofs
  • Contributed to system architecture through the project’s spinout phase
Result

The confidential settlement layer became the technical foundation of an independent fintech venture, which raised $22M on the back of it, taking the protocol from whitepaper to funded spinout.

Architecture Reviews

Modular AI features that doubled engagement

The problem

A telecom company operating across Singapore and Southeast Asia wanted lifestyle-driven AI experiences, like a caption generator, a stylist, and an itinerary builder, inside its app to lift engagement. But bolting features like this directly onto the core app risked a tangled codebase and made it slow to test ideas independently across different markets.

What we built
  • A micro-frontend architecture using React and Webpack Module Federation
  • Three AI-powered features, delivered as independent plug-and-play modules
  • A Node.js and Python backend integrating the OpenAI API
  • A setup that lets each market test and roll out features on its own timeline
Result

User engagement doubled and average session time quadrupled, with new AI features shipping as isolated modules instead of core-app releases.

CTO ADVISORY

An AI agent that builds ad deals from constraints

The problem

A premium ad management platform for TV and radio broadcasters relied on a manual, constraint-heavy process for building advertising deals. Leadership wanted to know whether AI agents could take over deal creation directly from user-supplied constraints, but had no proven path from that idea to something production-ready.

What we built
  • Evaluated and proposed an agentic workflow to replace the manual process, using Langchain, LangGraph, and Google ADK on Gemini/GCP
  • Recommended a hybrid of traditional optimization and agentic techniques to keep deal accuracy high
  • Validated the approach against real deal-building scenarios before rollout
Result

The Plan Builder Agent moved from feasibility study to production, and is now integrated into multiple products across the platform.

Our partners

Tools & technologies

Cloud & Infrastructure

Containerization & Orchestration

Databases & Storage

Security & Compliance

Monitoring & Observability

Infrastructure as Code

Performance & Load Testing

Know the risk before you commit

Get senior engineering perspective on the risks, trade-offs, and path forward.